Search Results for author: Shaoqing Ren

Found 9 papers, 5 papers with code

Instance-sensitive Fully Convolutional Networks

no code implementations29 Mar 2016 Jifeng Dai, Kaiming He, Yi Li, Shaoqing Ren, Jian Sun

In contrast to the previous FCN that generates one score map, our FCN is designed to compute a small set of instance-sensitive score maps, each of which is the outcome of a pixel-wise classifier of a relative position to instances.

Semantic Segmentation

Identity Mappings in Deep Residual Networks

50 code implementations16 Mar 2016 Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun

Deep residual networks have emerged as a family of extremely deep architectures showing compelling accuracy and nice convergence behaviors.

Image Classification

Deep Residual Learning for Image Recognition

382 code implementations CVPR 2016 Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun

Deep residual nets are foundations of our submissions to ILSVRC & COCO 2015 competitions, where we also won the 1st places on the tasks of ImageNet detection, ImageNet localization, COCO detection, and COCO segmentation.

 Ranked #1 on Image Classification on CUB-200-2011 (Top 1 Accuracy metric)

Image-to-Image Translation Object Detection +5

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

160 code implementations NeurIPS 2015 Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun

In this work, we introduce a Region Proposal Network (RPN) that shares full-image convolutional features with the detection network, thus enabling nearly cost-free region proposals.

Real-Time Object Detection Region Proposal

Global Refinement of Random Forest

no code implementations CVPR 2015 Shaoqing Ren, Xudong Cao, Yichen Wei, Jian Sun

The global pruning is developed to reduce the model size as well as the over-fitting risk.

Object Detection Networks on Convolutional Feature Maps

no code implementations23 Apr 2015 Shaoqing Ren, Kaiming He, Ross Girshick, Xiangyu Zhang, Jian Sun

We discover that aside from deep feature maps, a deep and convolutional per-region classifier is of particular importance for object detection, whereas latest superior image classification models (such as ResNets and GoogLeNets) do not directly lead to good detection accuracy without using such a per-region classifier.

General Classification Image Classification +1

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

11 code implementations18 Jun 2014 Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun

This requirement is "artificial" and may reduce the recognition accuracy for the images or sub-images of an arbitrary size/scale.

 Ranked #1 on Image Classification on ImageNet (Hardware Burden metric)

General Classification Image Classification +2

Face Alignment at 3000 FPS via Regressing Local Binary Features

no code implementations CVPR 2014 Shaoqing Ren, Xudong Cao, Yichen Wei, Jian Sun

The locality principle guides us to learn a set of highly discriminative local binary features for each facial landmark independently.

Face Alignment

Cannot find the paper you are looking for? You can Submit a new open access paper.